The study focuses on how the design of coronary stents and the blood flow conditions after they are placed impact the success of heart procedures and patient health.
An innovative algorithm for accurately creating 3D models of stents using intravascular ultrasound and angiography has been developed, showing high precision in complex stent configurations.
This method not only confirms its accuracy in silicone models but also proves useful in clinical settings for assessing blood flow dynamics, aiding in optimizing stenting techniques and stent innovations.
Optical coherence tomography (OCT) is a crucial imaging technique for diagnosing coronary artery disease, but accurate segmentation of the lumen is challenging due to various image artifacts.
The research introduces a rapid automatic segmentation method that leverages nonuniform rational B-spline to effectively outline the OCT lumen edges while minimizing noise.
Tested on 3300 OCT frames from 10 patients, the method operates in just 0.17 seconds per frame and offers accurate lumen segmentation and vessel reconstruction, enhancing the evaluation of coronary artery morphology.
The study focuses on improving the understanding and treatment of coronary bifurcation lesions by developing a new method for 3D reconstruction of their anatomy and plaque composition using intravascular ultrasound (IVUS) and angiography.
Researchers tested this method by creating patient-specific silicone models and comparing them against micro-computed tomography (µCT) for accuracy, finding a high level of agreement.
The proposed approach is efficient, taking under 60 minutes for reconstruction, and can aid in clinical planning and education regarding stenting strategies for complex coronary artery cases.